The Scientist and Engineer's Guide to Digital Signal Processing, 2nd Edition

Author(s) : Stephen W. Smith
ISBN : 0-9660176-3-3
Paperback : 640 pages
Publication Date : Oct 2003
Publisher : California Technical Publishing

This book was suggested by Per Pasgaard

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Book excerpts:

This book was written for scientists and engineers in a wide variety of fields: physics, bioengineering, geology, oceanography, mechanical and electrical engineering, to name just a few. The goal is to present Digital Signal Processing in practical techniques while avoiding the barriers of detailed mathematics and abstract theory. To achieve this goal, three strategies were employed in writing this book:

First, the techniques are explained, not simply proven to be true through mathematical derivations. While much of the mathematics is included, it is not used as the primary means of conveying the information. Nothing beats a few well written paragraphs supported by good illustrations.

Second, complex numbers are treated as an advanced topic, something to be learned after the fundamental principles are understood. Chapters 1-29 explain all the basic techniques using only algebra, and in rare cases, a small amount of elementary calculus. Chapters 30-33 show how complex math extends the power of DSP, presenting techniques that cannot be implemented with real numbers alone.

Third, very simple computer programs are used. Most DSP programs are written in C, Fortran, or a similar language. However, learning DSP has different requirements than using DSP. The student needs to concentrate on the algorithms and techniques, without being distracted by the quirks of a particular language. Power and flexibility aren't important; simplicity is critical. The programs in this book are written to teach DSP in the most straightforward way, with all other factors being treated as secondary. Good programming style is disregarded if it makes the program logic more clear.

The Intended Audience:

This book is primarily intended for a one year course in practical DSP, with the students being drawn from a wide variety of science and engineering fields. The suggested prerequisites are:

- A course in practical electronics: (op amps, RC circuits, etc.)
- A course in computer programming (Fortran or similar)
- One year of calculus

This book was also written with the practicing professional in mind. Many everyday DSP applications are discussed: digital filters, neural networks, data compression, audio and image processing, etc. As much as possible, these chapters stand on their own, not requiring the reader to review the entire book to solve a specific problem.

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